1860 search results - page 43 / 372 » Boosting Methods for Regression |
CIKM
2000
Springer
14 years 2 months ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
FOCS
1999
IEEE
14 years 2 months ago
1999
IEEE
This paper connects two fundamental ideas from theoretical computer science: hard-core set construction, a type of hardness amplification from computational complexity, and boosti...
KDD
1999
ACM
14 years 2 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
A new, combined human activity detection method is proposed. Our method is based on Efros et al.'s motion descriptors[2] and Ke et al.'s event detectors[3]. Since both m...
PRL
2006
13 years 9 months ago
2006
This paper describes a new method for a feature-based supervised classification of multi-channel SAR data. Classic feature selection and classification methods are inadequate due ...